Articles | Volume 10, issue 18
https://doi.org/10.5194/acp-10-8917-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-10-8917-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and application of a reactive plume-in-grid model: evaluation over Greater Paris
I. Korsakissok
CEREA, Joint Research Laboratory, ENPC/EDF R&D, Université Paris Est, 6–8 avenue Blaise Pascal, Cité Descartes, 77455 Champs-sur-Marne, Marne la Vallée Cedex 2, France
INRIA, Paris-Rocquencourt Research Center, B.P. 105, 78153 Le Chesnay Cedex, France
V. Mallet
CEREA, Joint Research Laboratory, ENPC/EDF R&D, Université Paris Est, 6–8 avenue Blaise Pascal, Cité Descartes, 77455 Champs-sur-Marne, Marne la Vallée Cedex 2, France
INRIA, Paris-Rocquencourt Research Center, B.P. 105, 78153 Le Chesnay Cedex, France
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Cited
15 citations as recorded by crossref.
- A backward-time stochastic Lagrangian air quality model D. Wen et al. https://doi.org/10.1016/j.atmosenv.2012.02.042
- Turbulent diffusion and volcanic gas dispersion in the atmospheric surface layer: insights from La Solfatara, Campi Flegrei, Italy S. Massaro et al. https://doi.org/10.1186/s40623-025-02272-z
- Implementation and application of sub-grid-scale plume treatment in the latest version of EPA’s third-generation air quality model, CMAQ 5.01 P. Karamchandani et al. https://doi.org/10.1080/10962247.2013.855152
- Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches J. Kelly et al. https://doi.org/10.1016/j.atmosenv.2015.04.004
- Developing a Plume‐in‐Grid Model for Plume Evolution in the Stratosphere H. Sun et al. https://doi.org/10.1029/2021MS002816
- Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model M. Woody et al. https://doi.org/10.1016/j.atmosenv.2016.10.016
- Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements K. Baker & M. Woody https://doi.org/10.1021/acs.est.6b05069
- Evaluation of the Weather Research and Forecast/Urban Model Over Greater Paris Y. Kim et al. https://doi.org/10.1007/s10546-013-9838-6
- A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives H. Snoun et al. https://doi.org/10.1007/s41207-023-00354-6
- Multi-scale modeling of roadway air quality impacts: Development and evaluation of a Plume-in-Grid model R. Briant & C. Seigneur https://doi.org/10.1016/j.atmosenv.2012.11.058
- Photochemical grid model performance with varying horizontal grid resolution and sub-grid plume treatment for the Martins Creek near-field SO2 study K. Baker et al. https://doi.org/10.1016/j.atmosenv.2014.09.064
- Sub-Grid Scale Plume Modeling P. Karamchandani et al. https://doi.org/10.3390/atmos2030389
- A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. https://doi.org/10.5194/acp-17-13297-2017
- The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
- Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region Y. Kim et al. https://doi.org/10.5194/gmd-7-569-2014
15 citations as recorded by crossref.
- A backward-time stochastic Lagrangian air quality model D. Wen et al. https://doi.org/10.1016/j.atmosenv.2012.02.042
- Turbulent diffusion and volcanic gas dispersion in the atmospheric surface layer: insights from La Solfatara, Campi Flegrei, Italy S. Massaro et al. https://doi.org/10.1186/s40623-025-02272-z
- Implementation and application of sub-grid-scale plume treatment in the latest version of EPA’s third-generation air quality model, CMAQ 5.01 P. Karamchandani et al. https://doi.org/10.1080/10962247.2013.855152
- Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches J. Kelly et al. https://doi.org/10.1016/j.atmosenv.2015.04.004
- Developing a Plume‐in‐Grid Model for Plume Evolution in the Stratosphere H. Sun et al. https://doi.org/10.1029/2021MS002816
- Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model M. Woody et al. https://doi.org/10.1016/j.atmosenv.2016.10.016
- Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements K. Baker & M. Woody https://doi.org/10.1021/acs.est.6b05069
- Evaluation of the Weather Research and Forecast/Urban Model Over Greater Paris Y. Kim et al. https://doi.org/10.1007/s10546-013-9838-6
- A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives H. Snoun et al. https://doi.org/10.1007/s41207-023-00354-6
- Multi-scale modeling of roadway air quality impacts: Development and evaluation of a Plume-in-Grid model R. Briant & C. Seigneur https://doi.org/10.1016/j.atmosenv.2012.11.058
- Photochemical grid model performance with varying horizontal grid resolution and sub-grid plume treatment for the Martins Creek near-field SO2 study K. Baker et al. https://doi.org/10.1016/j.atmosenv.2014.09.064
- Sub-Grid Scale Plume Modeling P. Karamchandani et al. https://doi.org/10.3390/atmos2030389
- A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. https://doi.org/10.5194/acp-17-13297-2017
- The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
- Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region Y. Kim et al. https://doi.org/10.5194/gmd-7-569-2014
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